In this project I will classify the SVHN data set to 92.77% accuracy, as well as create a number detection method. The second task is accomplished by the creation of an 11th class: background, which was has been painstakingly generated over the course of 15 hours, by hand, by myself.
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In this project I will classify the SVHN data set to 92.77% accuracy, as well as create a number detection method. The second task is accomplished by the creation of an 11th class: background, which was has been painstakingly generated over the course of 15 hours, by hand, by myself.
DCurro/SVHN-Classification-and-Detection
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In this project I will classify the SVHN data set to 92.77% accuracy, as well as create a number detection method. The second task is accomplished by the creation of an 11th class: background, which was has been painstakingly generated over the course of 15 hours, by hand, by myself.
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